Computing at LLNL
Browse Projects

At a Glance

Discovery science and technical innovation

Computing at LLNL advances scientific discovery through foundational and innovative research; mission-driven data science; complex modeling, simulation, and analysis on powerful supercomputers; and creative technologies and software solutions. Everything at Livermore is Team Science. Thus, Computing is at the heart of many of LLNL’s most compelling national security and scientific efforts:

  • Operating one of the world’s largest HPC data centers
  • Deploying research and supercomputers to mitigate COVID-19
  • Preparing for one of the nation’s first exascale-class computers
  • Providing essential IT expertise across LLNL
  • Running one of the world’s largest control systems at NIF
  • Advancing cancer research and treatment
  • Designing AI and machine learning algorithms for science-based pattern discovery

Focus Areas

Computational Math

Powering scientific codes with advanced algebraic methods, algorithms, solvers, and discretizations

Computational Science

Supporting the Lab’s mission-driven programs with scientific modeling and simulation

Cyber Security

Meeting the nation’s top priorities to enhance security in a highly interconnected world

Data Science

Advancing AI, data analytics, machine learning, predictive modeling, statistics, UQ, and more

Emerging Architectures

Innovating in new directions for next-generation hardware designs and platform integrations

HPC Systems & Software

Providing environments, tools, and expertise for vital national security research and development

Information Technology

Meeting the Lab’s computer technology needs every day with enterprise applications and services

Software Engineering

Applying best practices to maximize the efficiency of software development and deployment

News

Recent Tweet

3D cutaway of a lumpy simulation in red and green


Source: LLNL News

LLNL to cooperate with University of Utah's one oneAPI Center of Excellence

The new oneAPI Center of Excellence will involve the Center for Applied Scientific Computing and accelerate ZFP compression software to advance exascale computing.

Collaborations | Data Compression | Data Science | HPC Architectures | HPC Systems and Software | Hybrid/Heterogeneous | Open-Source Software

Hundreds of tall cylinders arranged pair-wise in rows, photographed from an elevated vantage point


Source: Science & Technology Review

S&TR cover story: The ACES in our hand

The Adaptive Computing Environment and Simulations (ACES) project will advance fissile materials production models and reduce risk of nuclear proliferation.

AI/ML | Computational Science | Containerization | Data Science | Information Technology | Scientific ML

Artistic rendering of light beams intersecting binary digits


Source: Science & Technology Review

S&TR highlight: Expanded capabilities and opportunities for VBL code

The latest generation of Livermore’s workhorse laser physics code promises full integration across research and operations applications.

Co-Design | Computational Science | Lasers and Optics | Software Engineering

Highlights

Featured Employee
Angeline on a coastal Maine trail

Angeline Lee

Angeline Lee simultaneously serves as a group leader, contributes to programmatic projects, and studies for her bachelor’s degree.

Featured Project
TFinity Archival Storage System

HPSS

Livermore’s archive leverages a hierarchical storage management application that runs on a cluster architecture that is user-friendly, extremely scalable, and lightning fast.

Featured Jobs
people helping others at their work stations

IT Opportunities

Operating a world-class computing center and ensuring the productivity of our scientists 24/7/365 require a deep bench of computer experts, network specialists, and desktop technicians. Our IT teams bring the latest technology and communication capabilities to thousands of staff.

Careers

Glassdoor Offical Logo 2020

We offer a promising future of discovery science and technical innovation

From software developers and applied math researchers to hardware architects and networking experts, computing at LLNL requires a top-flight workforce with a broad skill set. Check out our internship pages or visit LLNL's careers site to see how you can be a part of the future.